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Active Disturbance Rejection Control of High Precision Motor Based on Fuzzy Neural Network

  • HE Jing ,
  • XIAO Jian ,
  • NI Liang ,
  • YU Weiwei ,
  • YANG Chengshan ,
  • ZHENG Guangyu
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  • Shanghai Institute of Radio Equipment, Shanghai 201100, China

Received date: 2019-02-14

  Online published: 2025-05-30

Abstract

Aiming at the shortcomings of the PID control of the servo motor in the terahertz radar system,such as low precision and weak robustness,and the trouble in assuring the ADRC control parameters,an automatic anti-interference method based on fuzzy neural network is proposed. Firstly,the motor model of auto disturbance rejection control based on fuzzy neural network is established. Then the system simulation and experimental test are carried out on the model and common PID model.The results demonstrate that the method can significantly improve the control precision and stability of the motor。

Cite this article

HE Jing , XIAO Jian , NI Liang , YU Weiwei , YANG Chengshan , ZHENG Guangyu . Active Disturbance Rejection Control of High Precision Motor Based on Fuzzy Neural Network[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2020 , 40(2) : 10 -14 . DOI: 10.15892/j.cnki.djzdxb.2020.02.003

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